{"title":"价格发现还是过度反应?亚太国家etf对美国股市的反应研究","authors":"R. Ou","doi":"10.1080/10293523.2023.2208904","DOIUrl":null,"url":null,"abstract":"ABSTRACT Despite the presence of arbitrage mechanisms, large premiums (or discounts) for Asia Pacific country ETFs in the US market could still exist in the short run due to the time gap between trading hours of the US and Asia Pacific markets. The price of a country ETF is not solely determined by net asset value but is also affected by information released during US trading hours. In this study, I examine six Asia Pacific country ETFs from 2006 to 2020, using linear regression as well as tree-based ensemble methods to predict the next-day return of the net asset value by analysing information from country ETFs and the S&P 500 Index. The results indicate that the trading hours of local markets significantly influence the predictive power of country ETFs and the S&P 500 Index. The findings suggest that the returns of these ETFs do not necessarily overreact to the US market but instead reflect short-term expectations of the performance of underlying indices. Furthermore, I extend the model to analyse overnight and daytime returns and identify the price correction that occurs during daytime trading hours.","PeriodicalId":44496,"journal":{"name":"Investment Analysts Journal","volume":"1 1","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2023-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Price discovery or overreaction? A study on the reaction of Asia Pacific country ETFs to the US stock market\",\"authors\":\"R. Ou\",\"doi\":\"10.1080/10293523.2023.2208904\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Despite the presence of arbitrage mechanisms, large premiums (or discounts) for Asia Pacific country ETFs in the US market could still exist in the short run due to the time gap between trading hours of the US and Asia Pacific markets. The price of a country ETF is not solely determined by net asset value but is also affected by information released during US trading hours. In this study, I examine six Asia Pacific country ETFs from 2006 to 2020, using linear regression as well as tree-based ensemble methods to predict the next-day return of the net asset value by analysing information from country ETFs and the S&P 500 Index. The results indicate that the trading hours of local markets significantly influence the predictive power of country ETFs and the S&P 500 Index. The findings suggest that the returns of these ETFs do not necessarily overreact to the US market but instead reflect short-term expectations of the performance of underlying indices. Furthermore, I extend the model to analyse overnight and daytime returns and identify the price correction that occurs during daytime trading hours.\",\"PeriodicalId\":44496,\"journal\":{\"name\":\"Investment Analysts Journal\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2023-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Investment Analysts Journal\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1080/10293523.2023.2208904\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Investment Analysts Journal","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1080/10293523.2023.2208904","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Price discovery or overreaction? A study on the reaction of Asia Pacific country ETFs to the US stock market
ABSTRACT Despite the presence of arbitrage mechanisms, large premiums (or discounts) for Asia Pacific country ETFs in the US market could still exist in the short run due to the time gap between trading hours of the US and Asia Pacific markets. The price of a country ETF is not solely determined by net asset value but is also affected by information released during US trading hours. In this study, I examine six Asia Pacific country ETFs from 2006 to 2020, using linear regression as well as tree-based ensemble methods to predict the next-day return of the net asset value by analysing information from country ETFs and the S&P 500 Index. The results indicate that the trading hours of local markets significantly influence the predictive power of country ETFs and the S&P 500 Index. The findings suggest that the returns of these ETFs do not necessarily overreact to the US market but instead reflect short-term expectations of the performance of underlying indices. Furthermore, I extend the model to analyse overnight and daytime returns and identify the price correction that occurs during daytime trading hours.
期刊介绍:
The Investment Analysts Journal is an international, peer-reviewed journal, publishing high-quality, original research three times a year. The journal publishes significant new research in finance and investments and seeks to establish a balance between theoretical and empirical studies. Papers written in any areas of finance, investment, accounting and economics will be considered for publication. All contributions are welcome but are subject to an objective selection procedure to ensure that published articles answer the criteria of scientific objectivity, importance and replicability. Readability and good writing style are important. No articles which have been published or are under review elsewhere will be considered. All submitted manuscripts are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees. All peer review is double blind and submission is via email. Accepted papers will then pass through originality checking software. The editors reserve the right to make the final decision with respect to publication.